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Quantitative Approaches to the Russian Language
This edited collection presents a range of methods that can be used to analyse linguistic data quantitatively. A series of case studies of Russian data spanning different aspects of modern linguistics serve as the basis for a discussion of methodological and theoretical issues in linguistic data analysis. The book presents current trends in quantitative linguistics, evaluates methods and presents the advantages and disadvantages of each. The chapters contain introductions to the methods and relevant references for further reading. This will be of interest to graduate students and researchers in the area of quantitative and Slavic linguistics.
Frequency Effects in Language Representation
The volume explores the relationship between well-studied aspects of language (constructional alternations, lexical contrasts and extensions and multi-word expressions) in a variety of languages (Dutch, English, Russian and Spanish) and their representation in cognition as mediated by frequency counts in both text and experiment. The state-of-the-art data collection (ranging from questionnaires to eye-tracking) and analysis (from simple chi-squared to random effects regression) techniques allow to draw theoretical conclusions from (mis)matches between different types of empirical data. The sister volume focuses on language learning and processing.
Ten Lectures on Cognitive Linguistics as an Empirical Science
Ten Lectures on Cognitive Linguistics as an Empirical Science details the relationship between form and meaning in language, especially at the systematic level of morphology. The role of metaphor and metonymy in elaborating meaning are investigated, as well as the structuring of semantics in terms of prototypes and radial categories. Implications for cultural studies and pedagogical applications are explored. The bulk of examples and data are drawn from the Slavic languages.
Structuring Lexical Data and Digitising Dictionaries
In order to guarantee open access and full searchability, research in historical lexicography and lexicology must follow the same directions as the evolution of the Internet, which has moved from hypertext-based resources to more significative services and products stored and disseminated through databases and, more recently, through knowledge bases. Against this background, this book addresses specific questions like What is involved in the digitisation of linguistic data? What annotation systems can give rise to datasets compatible with knowledge bases? What standards are needed to reach full searchability? What sources and methods can be used to gather the lemmas of a historical dictionary? What determines the obsolescence of lexicographical resources?
Analysis of Images, Social Networks and Texts
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic. The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.
Alignment and Alignment Change in the Indo-European Family
This volume brings together work from leading specialists in Indo-European languages to explore the macro- and micro-dynamic factors that contribute to variation and change in alignment and argument realization. The chapters have a strong empirical focus, drawing on data from Anatolian, Indo-Iranian, Greek, Italic, Armenian, and Slavic.
Paradigms regained: Theoretical and empirical arguments for the reassessment of the notion of paradigm
The volume discusses the breadth of applications for an extended notion of paradigm. Paradigms in this sense are not only tools of morphological description but constitute the inherent structure of grammar. Grammatical paradigms are structural sets forming holistic, semiotic structures with an informational value of their own. We argue that as such, paradigms are a part of speaker knowledge and provide necessary structuring for grammaticalization processes. The papers discuss theoretical as well as conceptual questions and explore different domains of grammatical phenomena, ranging from grammaticalization, morphology, and cognitive semantics to modality, aiming to illustrate what the concept of grammatical paradigms can and cannot (yet) explain.
Formulaic language
The notion of formulaicity has received increasing attention in disciplines and areas as diverse as linguistics, literary studies, art theory and art history. In recent years, linguistic studies of formulaicity have been flourishing and the very notion of formulaicity has been approached from various methodological and theoretical perspectives and with various purposes in mind. The linguistic approach to formulaicity is still in a state of rapid development and the objective of the current volume is to present the current explorations in the field. Papers collected in the volume make numerous suggestions for further development of the field and they are arranged into three complementary part...
Productive Patterns in Phraseology and Construction Grammar
Adopting a corpus-based methodology, this volume analyses phraseological patterns in nine European languages from a monolingual, bilingual and multilingual point of view, following a mostly Construction Grammar approach. At present, corpus-based constructional research represents an interesting and innovative field of phraseology with great relevance to translatology, foreign language didactics and lexicography.
Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference
This book highlights the latest research on distributed computing and artificial intelligence. DCAI 2021 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and sp...
